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Multilevel modelling is an approach that can provide advantages over ordinary regression techniques when your data is clustered or grouped, (such as Classes wtihin Schools within Countries). This leaflet gives a very basic introduction to Multilevel niodelling and list some useful resources at the end.

A written introduction to Multiple Linear Regression using the same examples as those used in the Video Tutorial on this topic available at this site. This resource was contributed by Dr Iain Weir of the University of the West of England.

Try this self-test quiz AFTER reviewing the Teach Yourself video tutorial on MULTIPLE Linear Regression available at this site.This quiz was contributed by Dr Iain Weir of the University of the West of England.

In this video Dr Iain Weir (University of the West of England) introduces Multiple Linear Regression. A written introduction using the same examples is available as a Quick Reference resource at this site. You could also use the Test Yourself Quiz after reviewing this video.

A short video tutorial to demonstrate how to perform a one-sample t-test using SPSS. This resource has been made available under a Creative Commons licence by Kristian Evans, Swansea University.

A short video tutorial to demonstrate how to perform a the one-way ANOVA procedure using SPSS. This resource has been made available under a Creative Commons licence by Kristian Evans, Swansea University.

This teach yourself worksheet explains how to open an Excel worksheet as an SPSS dataset, and also how to add value labels to coded data in SPSS.

A Quick Reference worksheet on the paired samples t-test. This resource has been contributed to the statstutor Community Project by Mollie Gilchrist and Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield.

A Quick Reference worksheet on the paired samples t-test. This resource has been contributed to the statstutor Community Project by Mollie Gilchrist and Peter Samuels, Birmingham City University under a Creative Commons licence CC-BY-SA and reviewed by Ellen Marshall, University of Sheffield. The zip file contains the source file and the associated statstutor metadata spreadsheet.

This self-help resource provides an overview of paired t-tests in R, used to compare means of data from two related samples, such as observations before and after an intervention on the same participant, comparisons of measurements from the same participant for two different conditions. This resource has been made available under a Creative Commons licence by Sofia Maria Karadimitriou and Ellen Marshall, University of Sheffield.

This self-help resource provides an overview of paired t-tests in R, used to compare means of data from two related samples, such as observations before and after an intervention on the same participant, comparisons of measurements from the same participant for two different conditions. This resource has been made available under a Creative Commons licence by Sofia Maria Karadimitriou and Ellen Marshall, University of Sheffield.

This yourself worksheet provides an introduction to paired t-tests. The focus is on hand calculation but does include some notes on how to do a paired t-test using SPSS.

This yourself worksheet provides an introduction to undertaking paired t-tests using SPSS. Note that the SPSS data sets referred to in the worksheet are also available here.

This is a zip file containing the SPSS data sets called marks.sav and spiders.sav for use with Paired t-tests Using SPSS (Worksheet). Note: please save this file to your PC before extracting its contents.

Three questions on parametric hypothesis testing and confidence intervals, aimed at psychology students. Numbas resources have been made available under a Creative Commons licence by Bill Foster and Christain Perfect, School of Mathematics & Statistics at Newcastle University.

A written explanation of the more commonly used (Pearson) Correlation coefficient using the same examples as those used in the Video Tutorial on this topic available at this site. This resource was contributed by Dr Iain Weir of the University of the West of England.

Try this self-test quiz AFTER reviewing the Teach Yourself video tutorial on Pearson Correlation available at this site.This quiz was contributed by Dr Iain Weir of the University of the West of England.

In this video Dr Iain Weir (University of the West of England) explains what Pearsons Correlation Coefficient is , when its okay to use it, how to calculate it using SPSS and also a calculator, and how to intrepret the value of the coefficient and test its significance. A written introduction using the same examples is available as a Quick Reference resource at this site. You could also use the Test Yourself Quiz after reviewing this video.

This zip file contains transcripts for the SPSS contributed to the statstutor Community project by Christine Pereira, Brunel University University in 2014 and 2015.

A Quick Reference worksheet on creating PivotTables in Excel. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield.

A Quick Reference worksheet on creating PivotTables in Excel. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University under a Creative Commons licence CC-BY-SA and reviewed by Ellen Marshall, University of Sheffield. The zip file contains the source file and the associated statstutor metadata spreadsheet.

Principal Components Analysis (PCA) is a multivariate technique aimed at reducing the number of variables in your data set so that your new variables (components) are uncorrelated. This teach yourself worksheet gives a very brief introduction to PCA and how to perform this using SPSS. This includes some useful references at the end. Note: The "Analyze" --> "Data Reduction" step in SPSS (see page 2) in SPSS has now been changed to "Analyze" --> "Dimension Reduction"

large print version of the Probability & Statistics, Facts Formulae and Information Leaflet. This zip file contains separate pdf files for each of the 11 sides of the leaflet reformated to A4 so that they are more accessible for students with visual impairments.

An electronic version of the Facts & Formulae leaflet for probablity and statistics designed to be viewed onscreen. A higher resolution print version is available in statstutor.

This is a high resolution electronic copy of the Probability % Statistics Facts, Formulae and Information Leaflet. It is designed to be printed on A3 as a double-sided folded leaflet. Print quality is printer dependant. An onscreen version is available in mathcentre. Printed copies of the leaflet can be obtained for use in the UK by contacting info@mathstore.ac.uk

This teach yourself worksheet explains how to recode data or create codes for a new grouping variable in an SPSS data set.